2015
DOI: 10.1112/tlms/tlv001
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Fundamental groups of clique complexes of random graphs

Abstract: We study fundamental groups of clique complexes associated to random Erdős–Rényi graphs Γ. We establish thresholds for a number of properties of fundamental groups of these complexes XΓ. In particular, if p=nα, then we show that 4pt1emgdim(π1(XΓ))=cd(π1(XΓ))=1ifα<−12,gdim(π1(XΓ))=cd(π1(XΓ))=2if−12<α<−1130,gdim(π1(XΓ))=cd(π1(XΓ))=∞if−1130<α<−13, asymptotically almost surely (a.a.s.), where gdim and cd denote the geometric dimension and cohomological dimension correspondingly. It is known that the fundamental gr… Show more

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Cited by 28 publications
(62 citation statements)
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“…Here we used the equation (6). Next we may combine the obtained equality with the inductive hypothesis…”
Section: The Modelmentioning
confidence: 99%
See 1 more Smart Citation
“…Here we used the equation (6). Next we may combine the obtained equality with the inductive hypothesis…”
Section: The Modelmentioning
confidence: 99%
“…A different model of random simplicial complexes was studied by M. Kahle [13] and by some other authors, see for example [6]. These are the clique complexes of random Erdős-Rényi graphs, i.e.…”
Section: Introductionmentioning
confidence: 99%
“…This is equivalent to Definition 9 under an additional assumption that α 2 = 0. Complexes with µ 1 (S) > 1/3 were studies in §5 of [11].…”
Section: Uniform Hyperbolicitymentioning
confidence: 99%
“…The multi-parameter model which we discuss here allows regimes controlled by a combination of probability parameters associated to various dimensions. This model includes the well-known Linial -Meshulam -Wallach model [22], [23] as an important special case; as another important special case it includes the random simplicial complexes arising as clique complexes of random Erdős-Rényi graphs, see [20], [11].…”
Section: Introductionmentioning
confidence: 99%
“…Equivalently, a non-empty set U ⊆ [n] forms a simplex in X p (n) if and only if U is a clique in the binomial random graph. Topological properties of X p (n) have been studied in [16,25,26]. Another example is the random neighbourhood complex arising from the binomial random graph by letting each non-empty set of vertices that have a common neighbour form a simplex [24].…”
Section: Proof Of Corollary 112mentioning
confidence: 99%